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Change and System Resilience in EU and Ukrainian Agriculture” The doctoral researcher will work at the intersection of agricultural economics, system modelling, and policy analysis. Core analytical tool
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scenarios and strategies for its successful implementation. Using existing ICE-2 energy system models, you will address questions such as: How do installation and retrofitting times impact the restructuring
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The applicant will work in the frame of the EU Research and Innovation Action projects such as "New Copernicus Capability for Trophic Ocean Networks (NECCTON)" aiming to develop new ocean modelling
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the structure of the mean climate and project future climate change – and how these effects compare to those from conventional climate models. YOUR RESPONSIBILITIES Develop an original research program that
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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short-read RNA-sequencing data or Using a foundation model to develop a perturbation prediction model for aging Foundation models will be developed using different species, perturbations may be chemical
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a